Abstract
Background: Childhood obesity is a growing health problem in the United States, with those affected having an increased likelihood of developing chronic diseases at a younger age. Social determinants of health (SDOH) are known to influence overall health. Children with low socioeconomic status (SES) have been shown to be overweight and have poor health outcomes. Therefore, our primary objective was to use the National Survey of Children’s Health (NSCH) 2021 data to determine current associations between childhood obesity and social determinants of health (SDOH).
Methods: We conducted a cross-sectional analysis of 2021 NSCH to extract data from questions related to the SDOH domains. We extracted sociodemographic variables to use as controls and constructed bivariate and multivariable logistic regression models to determine associations, via odds ratios, between SDOH and child obesity.
Results: Within the binary regression models, we found that children identified as having obesity were more likely than non-obese children to experience SDOH in all domains. After controlling for race/ethnicity, household income (%FPL), parental education, and child sex, children identified as having obesity were significantly more likely to experience food insecurity when compared to non-obese children (AOR = 1.39; 95% CI: 1.13-1.17).
Conclusion: Our study found that the food insecurity domain of SDOH was significantly associated with childhood obesity. Improving policies for programs such as SNAP as well as addressing lack of access to nutritious foods, especially within food deserts, may help alleviate some food insecurity. Improving access to adequate amounts of nutritious foods is critical in addressing childhood obesity and thus, decreasing risk of chronic disease and poor long-term health outcomes.
Methods: We conducted a cross-sectional analysis of 2021 NSCH to extract data from questions related to the SDOH domains. We extracted sociodemographic variables to use as controls and constructed bivariate and multivariable logistic regression models to determine associations, via odds ratios, between SDOH and child obesity.
Results: Within the binary regression models, we found that children identified as having obesity were more likely than non-obese children to experience SDOH in all domains. After controlling for race/ethnicity, household income (%FPL), parental education, and child sex, children identified as having obesity were significantly more likely to experience food insecurity when compared to non-obese children (AOR = 1.39; 95% CI: 1.13-1.17).
Conclusion: Our study found that the food insecurity domain of SDOH was significantly associated with childhood obesity. Improving policies for programs such as SNAP as well as addressing lack of access to nutritious foods, especially within food deserts, may help alleviate some food insecurity. Improving access to adequate amounts of nutritious foods is critical in addressing childhood obesity and thus, decreasing risk of chronic disease and poor long-term health outcomes.
Original language | American English |
---|---|
Pages | 18 |
State | Published - 17 Feb 2023 |
Event | Oklahoma State University Center for Health Sciences Research Week 2023 - Oklahoma State University Center for Health Sciences, 1111 W. 17th street, Tulsa, United States Duration: 13 Feb 2023 → 17 Feb 2023 https://medicine.okstate.edu/events/index.html?trumbaEmbed=view%3Devent%26eventid%3D160681489 |
Conference
Conference | Oklahoma State University Center for Health Sciences Research Week 2023 |
---|---|
Country/Territory | United States |
City | Tulsa |
Period | 13/02/23 → 17/02/23 |
Internet address |
Keywords
- social determinants of health
- childhood obesity
- food insecurity
- chronic disease
- national survey of children’s health